基于中西医临床病证特点的慢性前列腺炎动物模型分析
Analysis of Animal Models of Chronic Prostatitis Based on Clinical Characteristics of Traditional Chinese and Western Medicine
孙龙吉 1王继升 2王世桢 1王彬 2潘振坤 3李海松2
作者信息
- 1. 北京中医药大学第一临床医学院,北京 100700
- 2. 北京中医药大学东直门医院男科,北京 100700
- 3. 北京中医医院延庆医院,北京 102199
- 折叠
摘要
慢性前列腺炎(chronic prostatitis,CP)是男科、泌尿外科的常见疾病,国内报道发病率为6.0％～32.9％.本病虽然不直接威胁生命,但严重影响患者身心健康和生活质量.本文主要基于慢性前列腺炎中西医临床病证特点,参照临床诊断标准,对现有的慢性前列腺炎动物模型进行探讨,整理分析建立慢性前列腺炎中西医的诊断标准,并对现有的动物模型与临床症状进行吻合度评价.分析结果显示,现有的慢性前列腺炎动物模型主要有湿热下注型、肾阳虚型、免疫性模型(雌激素诱导去势、纯化前列腺蛋白刺激)、化学诱导性模型(前列腺注射消痔灵或角叉菜胶模型)、细菌感染性模型(大肠埃希菌致感染)、自发模型(老龄动物自发模型).未来造模应增加中医客观的检测指标,提高模型与临床疾病吻合度.
Abstract
Chronic prostatitis(CP)is a common disease in the field of andrology and urological surgery,with a reported incidence rate in China ran-ging from 6.0％to 32.9％.Although this disease does not directly threaten life,it severely affects the physical and mental health as well as the quality of life of patients.This article mainly explored existing animal models of CP based on the clinical characteristics of CP in traditional Chi-nese and western medicine and the clinical diagnostic criteria,developed diagnostic criteria for CP in traditional Chinese and western medicine,and evaluated the degree of conformity between existing animal models and clinical symptoms.The analysis results showed that the existing ani-mal models of CP mainly included the Shire xiazhu(湿热下注)type,Shenyangxu(肾阳虚)type,immune types(estrogen-induced castration and purified prostate protein stimulation),chemically induced types(prostate injection of hemorrhoid cream or carrageenan),bacterial infection types(Escherichia coli-induced infection),and spontaneous type(spontaneous models in elderly animals).In the future,objective indicators of traditional Chinese medicine should be added to improve the conformity between the models and clinical diseases.
关键词
慢性前列腺炎/动物模型/特点/湿热下注/肾阳虚/消痔灵/细菌感染Key words
Chronic prostatitis/Animal model/Characteristic/Shire xiazhu(湿热下注)/Shenyangxu(肾阳虚)/Hemorrhoid cream/Bacteri-al infection引用本文复制引用
基金项目
北京市中医药科技发展资金项目(QN-2020-19)
出版年
2024
国家科技期刊平台
NSTL
万方数据